Semantic reasoning for autonomic IT systems

Alina Patelli, Radu Calinescu, Hai Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Autonomic systems are required to adapt continually to changing environments and user goals. This process involves the real-Time update of the system's knowledge base, which should therefore be stored in a machine-readable format and automatically checked for consistency. OWL ontologies meet both requirements, as they represent collections of knowl- edge expressed in FIrst order logic, and feature embedded reasoners. To take advantage of these OWL ontology char- acteristics, this PhD project will devise a framework com- prising a theoretical foundation, tools and methods for de- veloping knowledge-centric autonomic systems. Within this framework, the knowledge storage and maintenance roles will be fulfilled by a specialised class of OWL ontologies.

Original languageEnglish
Title of host publicationWCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014)
Number of pages6
ISBN (Print)9781450325936
Publication statusPublished - 2014
Event19th International Doctoral Symposium on Components and Architecture, WCOP 2014 - Marcq-en-Baroeul, United Kingdom
Duration: 30 Jun 20144 Jul 2014


Conference19th International Doctoral Symposium on Components and Architecture, WCOP 2014
Country/TerritoryUnited Kingdom

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